i am working on uncertainty analysis for the inversion results obtained by running least square inversion technique for my 2D ERT data sets. i want to ask how can i generate the synthetic ERT pseudo section
If you use res2Dmod you can create synthetic models and see their response to different arrays. It is easy to use. It also allows you to do sensitivity analysis. Preparing the model files can be a bit time consuming.
First, a proposed synthetic model of known resistivity values is created based on the user knowledge. This step is called forward modelling. Second, the model is inverted to obtain the subsurface resistivity distribution. This step is called inverse modelling. You need RES2DMOD then RES2DINV software.
To generate a synthetic ERT pseudo section, you can use forward modeling techniques. Forward modeling involves simulating the response of a given subsurface model to an ERT survey. Here are the steps you can follow:
Define a subsurface model that represents the geological features of the area you are interested in. This can be done by interpreting other geophysical data or geological information.
Choose a suitable forward modeling software package such as Res2Dinv, DCIP2D, or U2D-DC. These software packages allow you to simulate ERT data for a given subsurface model.
Define the survey parameters such as electrode spacing, number of electrodes, and the geometry of the survey. These parameters should match the ERT survey that you have conducted.
Run the forward modeling software to generate the synthetic ERT data. This will give you a set of apparent resistivity values that you can plot as a pseudo section.
Once you have generated the synthetic ERT data, you can compare it to your actual ERT data to validate your inversion results. This will allow you to assess the uncertainty of your inversion results and improve the accuracy of your subsurface model.
It is important to note that the accuracy of your synthetic ERT data will depend on the quality of your subsurface model and the accuracy of the forward modeling software you choose. You should also validate your synthetic data against other data sources such as borehole data to ensure the accuracy of your model.